Research Journal of Cell Sciences
Quantum-Gravitational Computation for DNA-Graphene-Isotope Assisted Management in Liver and Kidney Transplantation: A Novel AI-Linked Paradigm
Abstract
Chur Chin
Preoperative, intraoperative, and postoperative management of solid organ transplant patients—particularly in liver and kidney transplantation—has traditionally relied on immunologic surveillance and hemodynamic monitoring. This paper proposes a novel computational paradigm for transplantation management that integrates quantum–gravitational computation of DNA–graphene–isotope complexes, externally linked to AI feedback systems. By interfacing isotopically labelled DNA at immunologic loci (HLA, cytokine profiles, etc.) with graphene-assisted biosensors, this system evaluates vascular patency, predicts hyperacute rejection, and enables quantum prediction of Graft-versus-Host Disease (GVHD). Preoperative organ evaluation via microligation mapping and postoperative dynamic graft surveillance are rendered more precise through quantum biosignatures analyzed by feedback-trained AI, incorporating isotopic spin coherence. This framework opens possibilities for personalized transplant medicine through entanglement-based immune prediction and real-time AI modulation.